Yeah I’m setting the bar at the level of a child’s understanding. Because smaller models are well below that, just picking tokens at random. That’s how misunder

Yeah I’m setting the bar at the level of a child’s understanding. Because smaller models are well below that, just picking tokens at random. That’s how misunderstanding manifests with LLMs. They don’t say “I don’t know”, they just go off the rails. The quality bar for different use cases might be such that an understanding of a system on par with a 6 year old is isn’t useful. But right now we clearly have two clusters and I’m drawing the boundary where it’s most useful.